Amrhein, V., Trafimow, D., & Greenland, S. (2019). Inferential statistics as descriptive statistics: There is no replication crisis if we don’t expect replication. The American Statistician, 73(sup1), 262–270.
Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59(4), 390–412.
Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3), 255–278.
Bates, D., Kliegl, R., Vasishth, S., & Baayen, H. (2015). Parsimonious mixed models. arXiv Preprint arXiv:1506.04967.
Bürkner, P.-C. (2017).
brms: An
R package for
Bayesian multilevel models using
Stan. Journal of Statistical Software, 80(1), 1–28. https://doi.org/10.18637/jss.v080.i01
Bürkner, P.-C. (2018). Advanced
Bayesian multilevel modeling with the
R package
brms. The R Journal, 10(1), 395–411. https://doi.org/10.32614/RJ-2018-017
Bürkner, P.-C. (2019). Bayesian item response modeling in
R with brms and
Stan. arXiv Preprint arXiv:1905.09501.
Bürkner, P.-C., & Vuorre, M. (2019). Ordinal regression models in psychology: A tutorial. Advances in Methods and Practices in Psychological Science, 2(1), 77–101.
Colquhoun, D. (2017). The reproducibility of research and the misinterpretation of p-values. Royal Society Open Science, 4(12), 171085.
Gelman, A., & Rubin, D. B. (1992). Inference from iterative simulation using multiple sequences. Statistical Science, 7(4), 457–472.
Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N., & Altman, D. G. (2016). Statistical tests, p values, confidence intervals, and power: A guide to misinterpretations. European Journal of Epidemiology, 31(4), 337–350.
Hoekstra, R., Morey, R. D., Rouder, J. N., & Wagenmakers, E.-J. (2014). Robust misinterpretation of confidence intervals. Psychonomic Bulletin & Review, 21(5), 1157–1164.
Kruschke, J. K. (2014). Doing
Bayesian data analysis: A tutorial with
R, JAGS, and Stan.
Kruschke, J. K. (2018). Rejecting or accepting parameter values in
Bayesian estimation. Advances in Methods and Practices in Psychological Science, 1(2), 270–280.
Lambert, B. (2018). A student’s guide to
Bayesian statistics. Sage.
Lee, M. D., & Wagenmakers, E.-J. (2014). Bayesian cognitive modeling: A practical course. Cambridge University Press.
Loken, E., & Gelman, A. (2017). Measurement error and the replication crisis. Science, 355(6325), 584–585.
McElreath, R. (2016). Statistical rethinking:
A
Bayesian course with examples in
R and
Stan. CRC Press.
Morey, R. D., Hoekstra, R., Rouder, J. N., Lee, M. D., & Wagenmakers, E.-J. (2016). The fallacy of placing confidence in confidence intervals. Psychonomic Bulletin & Review, 23(1), 103–123.
Nicenboim, B., & Vasishth, S. (2016). Statistical methods for linguistic research:
Foundational Ideas – Part II. Language and Linguistics Compass, 10(11), 591–613.